Jun‐Yu Xu
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
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- RNA modifications and cancer 8
- Epigenetics and DNA Methylation 5
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 3
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Bang‐Ce Ye (13 shared papers)Minjia Tan (28 shared papers)Hao Hu (6 shared papers)Zhen Xu (2 shared papers)Linhui Zhai (7 shared papers)Ying Qian Zhou (2 shared papers)Min Zhang (1 shared paper)Ya Xu (2 shared papers)
- Journals
- Journal of Proteomics (4 papers)Journal of Proteome Research (4 papers)ACS Chemical Biology (3 papers)Nature Cancer (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Jun‐Yu Xu
41 papers receiving 996 citations
Jun‐Yu Xu's Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 143
- Molecular Biology 565
- Spectroscopy 128
- Microbiology 41
- Oncology 159
Countries citing papers authored by Jun‐Yu Xu
This map shows the geographic impact of Jun‐Yu Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun‐Yu Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Yu Xu more than expected).
Fields of papers citing papers by Jun‐Yu Xu
This network shows the impact of papers produced by Jun‐Yu Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun‐Yu Xu. The network helps show where Jun‐Yu Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Yu Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrative Proteomic Characterization of Human Lung Adenocarcinoma Hit paper breakdown → | 2020 | 427 |
| 2 | 2021 | 69 | |
| 3 | 2020 | 44 | |
| 4 | 2017 | 43 | |
| 5 | 2016 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2016 | 35 | |
| 8 | 2018 | 31 | |
| 9 | 2009 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2024 | 21 | |
| 15 | 2024 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2013 | 10 | |
| 20 | 2020 | 8 |
About Jun‐Yu Xu
Jun‐Yu Xu is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Enzyme Structure and Function (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (143 citations), Molecular Biology (565 citations), Spectroscopy (128 citations), Microbiology (41 citations) and Oncology (159 citations). Jun‐Yu Xu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Bang‐Ce Ye, Minjia Tan, Hao Hu, Zhen Xu, Linhui Zhai, Ying Qian Zhou, Min Zhang, Ya Xu, Xiaohe Chu and Di You. Their work appears in journals such as Journal of Proteomics, Journal of Proteome Research, ACS Chemical Biology, Nature Cancer and Molecular & Cellular Proteomics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.